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README.md
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VAD annotations provide a nuanced representation of emotions in text and are widely used in sentiment analysis, emotion classification, and affective computing. While designed at the word level, the lexicon has been successfully applied to longer texts such as sentences and documents.
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## Citation
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TBD
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VAD annotations provide a nuanced representation of emotions in text and are widely used in sentiment analysis, emotion classification, and affective computing. While designed at the word level, the lexicon has been successfully applied to longer texts such as sentences and documents.
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## Dataset Structure
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### English-Hebrew Mapped Lexicon
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Each entry contains:
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- English Word: The original English word.
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- Valence: A score representing emotional positivity (scale: 0–1).
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- Arousal: A score representing emotional intensity (scale: 0–1).
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- Dominance: A score representing perceived control (scale: 0–1).
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- Hebrew Word: The primary Hebrew translation.
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- Hebrew Undotted: The undotted form of the Hebrew word.
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- Hebrew Lemma: The lemma form of the Hebrew word.
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- Alternative 1-7: Alternative Hebrew translations.
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- NOT VALID: An indicator for invalid words or translations.
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### Hebrew Aggregated Lexicon
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Each entry contains:
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- Hebrew Word: The Hebrew word in undotted form.
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- Valence: The mean valence score averaged over all corresponding English words.
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- Arousal: The mean arousal score averaged over all corresponding English words.
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- Dominance: The mean dominance score averaged over all corresponding English words.
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## Citation
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TBD
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